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作 者:XIANG Zhongke XIANG Feifei
机构地区:[1]School of Artificial Intelligence,Jiangxi University of Technology,Nanchang 330098,Jiangxi,China [2]Modern Education Technical Center,Jiangxi University of Technology,Nanchang 330098,Jiangxi,China
出 处:《Wuhan University Journal of Natural Sciences》2023年第4期324-332,共9页武汉大学学报(自然科学英文版)
基 金:Supported by Natural Science and Technology Research Project of the Jiangxi Education Department(GJJ202002, GJJ2202620)。
摘 要:To solve the constraints of multi-objective optimization of the driver system and high nonlinear problems, according to the relevant dimensions of a car, we build a simulation model with Hybrid Ⅲ 50th dummy driver constraint system. The comparison of the driver mechanics index of the experimental data with the simulation data in the frontal crash shows that the accuracy of simulation model meets the requirements. The optimal Latin test design is adopted, and the global sensitivity analysis of the design parameters is carried out based on the Kriging model. The four most sensitive parameters are selected, and the parameters are solved by a multi-island genetic algorithm.And then the nonlinear programming quadratic line(NLPQL) algorithm is used to search for accurate optimization. The optimal parameters of the occupant restraint system are determined: the limiting force value of force limiter 2 985.603 N, belt extension 12.684%, airbag point explosion time 27.585 ms, and airbag vent diameter 27.338 mm, with the weighted injury criterion(WIC) decreased by 12.97%, the head injury decreased by 22.60%, and the chest compression decreased by 7.29%. The results show that the system integration of passive safety devices such as seat belts and airbags can effectively protect the driver.
关 键 词:occupant restraint system multi-objective optimization sensitivity analysis multi-islands genetic algorithms nonlinear programming quadratic line(NLPQL)algorithm
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